Power BI – Banking Analytics Dashboard (FP20 Analytics Challenge 27)

This project was developed as part of the FP20 Analytics Challenge 27, where I built a comprehensive 3-page dashboard in Power BI to analyze banking performance across transaction types, customer segments, and geographical branches. The goal was to uncover business insights and customer behavior patterns that could drive strategic financial decisions.

• Tools Used: Power BI, DAX, ZoomCharts, Custom Visuals

• Data Scope: Customer transactions, revenue types, channel usage (2023–2025)

• Key Features:

  • Interactive persona analysis segmented by income group, customer score, and product preferences

  • Branch-wise transaction heatmap with regional growth trends

  • Channel and seasonal trends visualized to track peaks, dips, and platform shifts

  • Used over 35 DAX measures to compute totals, averages, percentages, and ranking logic

• Key Insights:

  • Middle-income users accounted for the highest transaction volume and revenue

  • Mobile and online banking channels dominated with 40%+ combined usage

  • Strategic seasonal trends and peaks were identified for revenue optimization

💡 This project demonstrates my ability to build layered analytics reports using advanced DAX, smart UI design, and insight-driven storytelling in Power BI.